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transformers xgboost lightgbm automl gnns📋 Description
- Architect and own advanced modeling across fraud and abuse domains.
- Establish model quality standards for adversarial dynamics and monitoring.
- Lead innovative modeling on high-value fraud problems.
- Partner with ML engineering and information security on robustness.
- Build automated workflows that scale expertise while maintaining checks.
🎯 Requirements
- Deep, hands-on fraud and information security modeling experience.
- 5+ years shipping production models at scale.
- Expertise in tree-based, deep learning, and graph models.
- Advanced degree in statistics, data science, ML, or 8+ years depth.
- Strong statistical intuition informed by domain reality.
- Proficient with AI-assisted automation tools (LLMs, AutoML).
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